Non‐Invasive Estimation of the Upper Boundary of the Severe Intensity Exercise Domain: The Maximal Accumulated Oxygen Deficit Method

The aim of this study was to evaluate whether the highest power output at which the predominant energy contribution is derived from the aerobic system (aerobic limit power: ALP), as estimated using maximal accumulated O<sub>2</sub> deficit (MAOD) method, corresponds to the upper boundary of the severe intensity exercise domain. Thirteen males completed: (i) a ramp incremental exercise test, (ii) four submaximal constant power exercise tests, and (iii) 6-7 maximal and at least one supramaximal constant power exercise tests. The upper boundary of the severe intensity exercise domain was estimated based on the linear relationship between the time to achieve <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:mover><mml:mi>V</mml:mi> <mml:mo>˙</mml:mo></mml:mover> </mml:mrow> <mml:annotation>$\dot{\mathrm{V}}$</mml:annotation></mml:semantics> </mml:math> O<sub>2max</sub> and the time to task failure (P<sub>UPPERBOUND</sub>). The ALP was estimated by MAOD method, i.e. based on the difference between the predicted <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:mover><mml:mi>V</mml:mi> <mml:mo>˙</mml:mo></mml:mover> </mml:mrow> <mml:annotation>$\dot{\mathrm{V}}$</mml:annotation></mml:semantics> </mml:math> O<sub>2</sub> demand derived from a linear regression line from submaximal exercise tests and the accumulated O<sub>2</sub> uptake calculated by integrated <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:mover><mml:mi>V</mml:mi> <mml:mo>˙</mml:mo></mml:mover> </mml:mrow> <mml:annotation>$\dot{\mathrm{V}}$</mml:annotation></mml:semantics> </mml:math> O<sub>2</sub> data. The highest power output at which the aerobic energy contribution rate was still predominant (i.e., 50%+) was defined as the ALP. Based on the principal results, ALP estimated by MAOD was not significantly different from the P<sub>UPPERBOUND</sub> (390 ± 58 vs. 387 ± 61; p = 0.16; effect size: 0.42) and they were closely aligned (r: 0.99; bias: 3 ± 7 W; standard error of estimation: 7 W; limits of agreement: -11-17 W). Consequently, ALP, as derived from the MAOD method, provides a non-invasive alternative to accurately determine the P<sub>UPPERBOUND</sub> with less physiological stress.

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Journal
European Journal of Sport Science
Published
2026-02-25
DOI
https://doi.org/10.1002/ejsc.70151
Primary Topic
Cardiovascular and exercise physiology
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article

Non‐Invasive Estimation of the Upper Boundary of the Severe Intensity Exercise Domain: The Maximal Accumulated Oxygen Deficit Method

Özgür Özkaya, H. van As, Arda Peker, Andrew M Jones
European Journal of Sport Science
Cardiovascular and exercise physiology
article

Non‐Invasive Estimation of the Upper Boundary of the Severe Intensity Exercise Domain: The Maximal Accumulated Oxygen Deficit Method

Özgür Özkaya, H. van As, Arda Peker, Andrew M Jones
article en

Abstract

The aim of this study was to evaluate whether the highest power output at which the predominant energy contribution is derived from the aerobic system (aerobic limit power: ALP), as estimated using maximal accumulated O<sub>2</sub> deficit (MAOD) method, corresponds to the upper boundary of the severe intensity exercise domain. Thirteen males completed: (i) a ramp incremental exercise test, (ii) four submaximal constant power exercise tests, and (iii) 6-7 maximal and at least one supramaximal constant power exercise tests. The upper boundary of the severe intensity exercise domain was estimated based on the linear relationship between the time to achieve <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:mover><mml:mi>V</mml:mi> <mml:mo>˙</mml:mo></mml:mover> </mml:mrow> <mml:annotation>$\dot{\mathrm{V}}$</mml:annotation></mml:semantics> </mml:math> O<sub>2max</sub> and the time to task failure (P<sub>UPPERBOUND</sub>). The ALP was estimated by MAOD method, i.e. based on the difference between the predicted <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:mover><mml:mi>V</mml:mi> <mml:mo>˙</mml:mo></mml:mover> </mml:mrow> <mml:annotation>$\dot{\mathrm{V}}$</mml:annotation></mml:semantics> </mml:math> O<sub>2</sub> demand derived from a linear regression line from submaximal exercise tests and the accumulated O<sub>2</sub> uptake calculated by integrated <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:mover><mml:mi>V</mml:mi> <mml:mo>˙</mml:mo></mml:mover> </mml:mrow> <mml:annotation>$\dot{\mathrm{V}}$</mml:annotation></mml:semantics> </mml:math> O<sub>2</sub> data. The highest power output at which the aerobic energy contribution rate was still predominant (i.e., 50%+) was defined as the ALP. Based on the principal results, ALP estimated by MAOD was not significantly different from the P<sub>UPPERBOUND</sub> (390 ± 58 vs. 387 ± 61; p = 0.16; effect size: 0.42) and they were closely aligned (r: 0.99; bias: 3 ± 7 W; standard error of estimation: 7 W; limits of agreement: -11-17 W). Consequently, ALP, as derived from the MAOD method, provides a non-invasive alternative to accurately determine the P<sub>UPPERBOUND</sub> with less physiological stress.

European Journal of Sport ScienceVol. 26(3)
University of Exeter (GB), Ege University (TR)
Affordable and clean energy
Openalex Percentile: Top 39%
Cardiovascular and exercise physiology
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